Provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) <doi:10.1002/sim.6880>. Pure within-cluster and preferential within-cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.
| Version: | 2.3.0 |
| Depends: | R (≥ 2.6.0), Matching |
| Imports: | stats, lmtest, multiwayvcov, lme4 |
| Suggests: | MASS |
| Published: | 2019-02-05 |
| Author: | Massimo Cannas [aut, cre], Bruno Arpino [ctb], Elena Colicino [ctb] |
| Maintainer: | Massimo Cannas <massimo.cannas at unica.it> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | CMatching results |
| Reference manual: | CMatching.pdf |
| Package source: | CMatching_2.3.0.tar.gz |
| Windows binaries: | r-devel: CMatching_2.3.0.zip, r-release: CMatching_2.3.0.zip, r-oldrel: CMatching_2.3.0.zip |
| macOS binaries: | r-release: CMatching_2.3.0.tgz, r-oldrel: CMatching_2.3.0.tgz |
| Old sources: | CMatching archive |
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